A HEVC Video Steganography Algorithm Based on DCT/DST Coefficients with Improved VRCNN-Reference-Cited by-同舟云学术

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A HEVC Video Steganography Algorithm Based on DCT/DST Coefficients with Improved VRCNN

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Zhou Aijun¹,Jiang Xinghao¹,Li Zhaohong²,Zhang Zhenzhen³

Affiliation:

1. Shanghai Jiao Tong University,School of Electronic Information and Electrical Engineering,Shanghai,China

2. Beijing Jiao Tong University,School of Electronic and Information Engineering,Beijing,China

3. School of Information Engineering, Beijing Institute of Graphic Communication,Beijing,China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724288/9724267/09724508.pdf?arnumber=9724508

Reference34 articles.

1. Universal Detection of Video Steganography in Multiple Domains Based on the Consistency of Motion Vectors

2. Dense residual convolutional neural network based inloop filter for HEVC;wang;IEEE Visual Communications and Image Processing (VCIP),0

3. Content-Aware Convolutional Neural Network for In-Loop Filtering in High Efficiency Video Coding

4. Residual Highway Convolutional Neural Networks for in-loop Filtering in HEVC

5. A HEVC Video Steganalysis Algorithm Based on PU Partition Modes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Centralized Error Distribution-Preserving Adaptive Steganography for HEVC;IEEE Transactions on Multimedia;2023

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